基于智能协商的家电负荷实时优化控制

Real-time Optimal Control of Household Appliance Load Based on Intelligent Negotiation

基于智能协商的负荷实时优化控制,本文综合考虑可控负荷的通用特性(可削减性、可中断性、可转移性)以及负荷的动态多优先级和用户对负荷受控的容忍度,设计了一种扩展OpenADR协议的家电负荷智能协商控制的启发式算法,并基于OMNeT++离散事件仿真工具,对该智能协商算法进行了实时互动通信协商仿真验证,实验结果表明,本算法在考虑用户对负荷受控的容忍度范围内,达到了优化负荷曲线、平抑负荷波动的效果,使得峰谷差削减率的平均值达到24.24%。

As to real-time optimization control of household appliance load based on intelligent negotiation,general characteristics of controllable load,such as scalability,interruptablility and transferability,and dynamic multi-priority of load and users tolerance to controllable load are considered in this paper,and a novel heuristic algorithm of household appliance load based on intelligent negotiation which extends the OpenADR protocol is proposed.Based on the OMNeT＋＋ discrete event simulation tool,the intelligent negotiation algorithm is simulated and verified by real-time interactive communication and negotiation.The experimental results indicate that the algorithm achieves the effect of optimizing the load curve and stabilizing the load fluctuation in the tolerance range of load control,and the average value of the peak-valley difference reduction rate reaches 24.24%.